Jules M's Projects
A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Anomaly detection related books, papers, videos, and toolboxes
Approaching (Almost) Any Machine Learning Problem
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of deep learning resources for computer vision
A curated list to learn about distributed systems
A curated list of Generative AI tools, works, models, and references
A curated list of modern Generative Artificial Intelligence projects and services
😎 A curated list of awesome GitHub Profile READMEs 📝
A curated list of references for MLOps
A collection of resources on applications of multi-modal learning in medical imaging.
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A curated list of awesome Python frameworks, libraries, software and resources
PyTorch implementation of BERT in "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Interactive Layout-Aware Construction of Bespoke Charts
This is as the name implies. The solutions of which go here. Both for educational and work purposes. Or building personal experience for getting into the tech field.
A complete computer science study plan to become a software engineer.
This repository contains coding interviews that I have encountered in company interviews
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
Let us control diffusion models!
Sublime Text 3 syntax highlighting for Cosmos Scope
Spiking neural network implementation using CPU and CUDA engine
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Code for the paper Hybrid Spectrogram and Waveform Source Separation
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent